Command A vs phi-4

At a Glance

Compare
Command ACohere
phi-4Microsoft
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.50Cohere · Aug 29, 2026$0.070Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$10.00Cohere · Aug 29, 2026$0.14Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens256K16K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkCommand Aphi-4
Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader46.49100% of row best · percent · Command A (FC)28.7962% of row best · percent · Phi-4 (Prompt)
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,330.87100% of row best · rating · command-a-03-2025; 95% CI [1327.41159924, 1334.32729730]; votes 55449; rank 2111,216.6091% of row best · rating · phi-4; 95% CI [1212.02298793, 1221.18318193]; votes 24126; rank 300
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldCommand Aphi-4
DeveloperCohereMicrosoft
FamilyCommand APhi 4
ModelCommand Aphi-4
VersionCommand Aphi-4
Lifecycleactiveactive
ReleasedUnknown2024-12-12
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText
Output modalitiesTextText
Context window256K16K
Total parameters111B14.7B
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessCohere (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)
Capabilitiesagents, chat, citations, multilingual, rag, structured_outputs, toolschat, generation

Command A Capabilities

agentschatcitationsmultilingualragstructured outputstools
Serving providers1
Canonical IDcoherelabs/command-a-03-2025

phi-4 Capabilities

chatgeneration
Serving providers3
Canonical IDmicrosoft/phi-4

Primary Evidence

Sources and Freshness

Questions

Command A vs phi-4 FAQs

Is Command A or phi-4 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A and phi-4, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Command A or phi-4?+

Command A is $2.50 and phi-4 is $0.070 per million tokens, so phi-4 is cheaper on this metric. Command A is $10.00 and phi-4 is $0.14 per million tokens, so phi-4 is cheaper on this metric.

Which has a larger context window, Command A or phi-4?+

Command A has the larger sourced context window. Command A supports 256K and phi-4 supports 16K.

Which performs better in benchmarks, Command A or phi-4?+

Command A leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Command A or phi-4 be self-hosted?+

phi-4 is the only model in this pair currently marked as self-hostable. Command A is not marked open weight; phi-4 is open weight.

Can Command A and phi-4 understand images?+

Command A is not documented with image input; phi-4 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Command A or phi-4?+

Neither has a larger sourced maximum output. Command A is 8K and phi-4 is —.

Do Command A and phi-4 support reasoning and tool use?+

Command A: tool calling. phi-4: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Command A or phi-4?+

Command A has 1 sourced provider route; phi-4 has 3, so phi-4 has broader tracked availability.

Which offers better value, Command A or phi-4?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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